Optimization of storage location assignment for fixed rack systems

Authors:
Qinghong Wu;Ying Zhang;Zongmin Ma
Affiliations:
College of Information Science and Engineering, Northeastern University, Shenyang, China and School of Electronic and Information Engineering, Liaoning University of Science & Technology, Ansh ...;School of Electronic and Information Engineering, Liaoning University of Science & Technology, Anshan, China;College of Information Science and Engineering, Northeastern University, Shenyang, China
Venue:
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
Year:
2010

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Abstract

A multi-objective mathematical model and an improved Genetic Algorithm (GA) are formulated for storage location assignment of the fixed rack system. According to the assignment rules, the optimization aim is to maximize the storage/retrieval efficiency and to keep the stability of the rack system. The improved GA with Pareto optimization and Niche Technology are developed. The approach considers Pareto solution sets with the traditional operators, while the Niche Technology distributes the solutions uniformly in Pareto solution sets. The realization of the approach ensures storage location assignment optimization and offers a dynamic decision making scheme for automated storage and retrieval system (AS/RS).